Data vs. Models

A longstanding challenge in machine learning teams is the struggle to prioritize data analysis over model training. While many acknowledge the importance of data, enthusiasm often leans towards model development, leaving data manipulation as a secondary concern. The lack of clarity around the ideal role for data-focused professionals further complicates progress in this area.